Add to ORKGThe evaluation of a particular set of edge detection schemes is described. The results obtained are compared with those obtained from an edge detection scheme using a texture oriented approach. The orientational bias of these schemes is emphasized. Improved qualitative observations are reported and a comparison of the evaluation method with another edge detection evaluation method is presented
An orientation discrimination paradigm was used to determine whether the perceived orientation of ex...
In recent years, increasing eort has gone into eval-uating computer vision algorithms in general, an...
Useful for human visual perception, edge detection remains a crucial stage in numerous image process...
This paper examines how observers estimate the overall orientation of spatially disorganised texture...
AbstractPreattentive texture segregation was examined using textures composed of randomly placed, or...
AbstractPreattentive texture segregation was examined using textures composed of randomly placed, or...
AbstractInstantaneous texture discrimination performance was examined for different texture stimuli ...
This paper examines how observers estimate the overall orientation of spatially disorganised texture...
Since edge detection is in the forefront of image processing for object detection, it is crucial to ...
This paper presents a study for the orientation effectiveness on the detected areas for many sampled...
Because of the difficulty of obtaining ground truth for real images, the traditional technique for c...
Because of the difficulty of obtaining ground truth for real images, the traditional technique for c...
Because of the difficulty of obtaining ground truth for real images, the traditional technique for c...
Edge detection algorithms are important tools in image processing applications for carrying out much...
When compared with other summary statistics (mean size, size variance, orientation variance), visual...
An orientation discrimination paradigm was used to determine whether the perceived orientation of ex...
In recent years, increasing eort has gone into eval-uating computer vision algorithms in general, an...
Useful for human visual perception, edge detection remains a crucial stage in numerous image process...
This paper examines how observers estimate the overall orientation of spatially disorganised texture...
AbstractPreattentive texture segregation was examined using textures composed of randomly placed, or...
AbstractPreattentive texture segregation was examined using textures composed of randomly placed, or...
AbstractInstantaneous texture discrimination performance was examined for different texture stimuli ...
This paper examines how observers estimate the overall orientation of spatially disorganised texture...
Since edge detection is in the forefront of image processing for object detection, it is crucial to ...
This paper presents a study for the orientation effectiveness on the detected areas for many sampled...
Because of the difficulty of obtaining ground truth for real images, the traditional technique for c...
Because of the difficulty of obtaining ground truth for real images, the traditional technique for c...
Because of the difficulty of obtaining ground truth for real images, the traditional technique for c...
Edge detection algorithms are important tools in image processing applications for carrying out much...
When compared with other summary statistics (mean size, size variance, orientation variance), visual...
An orientation discrimination paradigm was used to determine whether the perceived orientation of ex...
In recent years, increasing eort has gone into eval-uating computer vision algorithms in general, an...
Useful for human visual perception, edge detection remains a crucial stage in numerous image process...